This paper is in the following e-collection/theme issue:

Machine Learning (2036) Artificial Intelligence (2067) Dental Sciences (162) Decision Support for Health Professionals (1513) Pediatric Dentistry and Orthodontics (18) Computer-Aided Diagnosis (242) AI Applications in Public Health (29)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75117, first published .
A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study

A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study

A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study

Authors of this article:

Elina Väyrynen1 Author Orcid Image ;   Otso Tirkkonen1 Author Orcid Image ;   Henna Tiensuu2 Author Orcid Image ;   Jaakko Suutala2 Author Orcid Image ;   Vuokko Anttonen1 Author Orcid Image ;   Marja-Liisa Laitala1, 3 Author Orcid Image ;   Katri Kukkola4 Author Orcid Image ;   Saujanya Karki1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Elina Väyrynen   1 , DDS ;   Otso Tirkkonen   1 , BDS ;   Henna Tiensuu   2 , PhD ;   Jaakko Suutala   2 , Prof Dr ;   Vuokko Anttonen   1 , Prof Dr, DDS ;   Marja-Liisa Laitala   1, 3 , Prof Dr, DDS ;   Katri Kukkola   4 , MSci ;   Saujanya Karki   1 , BDS, MPH, PhD

1 Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland

2 Biomimetics and Intelligent Systems Group, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland

3 Oulu University Hospital, Oulu, Finland

4 Optoelectronics and Measurement techniques, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland

Corresponding Author:

  • Saujanya Karki, BDS, MPH, PhD
  • Research Unit of Population Health
  • Faculty of Medicine
  • University of Oulu
  • Aapistie 3
  • Oulu 90220
  • Finland
  • Phone: 358 294485643
  • Fax: 358 358 294485643
  • Email: Saujanya.Karki@oulu.fi